Instructions to use hf-internal-testing/tiny-random-MegaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MegaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MegaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c864ccabc510ec49f6c1f305384e7417dab503d76fd3b4db95d5ea8c6b0a6242
- Size of remote file:
- 409 kB
- SHA256:
- f730639693526e52e15e5ce7b8bcdb9fad8f7f80936827aa4f98649ced41080d
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